Research Log: Difference between revisions

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How to reeceive voice as a data and then reproduce it in ways that deconstruct the gender classification?
How to reeceive voice as a data and then reproduce it in ways that deconstruct the gender classification? <br>
Open up new auditory perceptions?
Open up new auditory perceptions?



Revision as of 12:57, 20 March 2023

Pitch Classification

Voices are classified as: Female norm: mean F0 of 196-224 Hz
Male norm: mean F0 107-132 Hz
Gender is a spectrum,-not just binary (male vs female)and also not purely categorical

How to reeceive voice as a data and then reproduce it in ways that deconstruct the gender classification?
Open up new auditory perceptions?

Spectogram and Voice

Screen Shot 2023-02-22 at 14.22.44.png
Screen Shot 2023-02-22 at 14.48.09.png

Queer Listening and Queer Timbre

Timbre Visualisation

Try to talk on the microphone and see different types of visualisation through pure data. This can also work with vocal samples